code: def normal(mu, sigma, random_state):
      """
      The probability density function of the normal distribution,
      first derived by De Moivre and 200 years later by both Gauss and Laplace independently.
      mu: float or array_like of floats
          Mean (“centre”) of the distribution.
      sigma: float or array_like of floats
             Standard deviation (spread or “width”) of the distribution.
      random_state: an object of numpy.random.RandomState
      """
      return random_state.normal(mu, sigma)
  
file_path: nni/nni/parameter_expressions.py
imports: import numpy
label_desc: Use image node_id 7 for calling a global function with example usage: normal(mu, sigma, random_state) and returns: random_state